Laurent Jacques

100 papers receiving 1.8k citations

Laurent Jacques's Hit Papers

Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors 2013 · 370 citations
3700+4+8Years since publication100200300

Peers

Laurent Jacques
Comparison fields: 5 of 108
  • Computational Mechanics 783
  • Acoustics and Ultrasonics 31
  • Computer Vision and Pattern Recognition 639
  • Signal Processing 313
  • Media Technology 125
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Lee C. Potter United States
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Farokh Marvasti Iran
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Massoud Babaie‐Zadeh Iran
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Citations per year

Countries citing papers authored by Laurent Jacques

Since Specialization
Citations

This map shows the geographic impact of Laurent Jacques's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Laurent Jacques with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurent Jacques more than expected).

Fields of papers citing papers by Laurent Jacques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laurent Jacques. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Laurent Jacques. The network helps show where Laurent Jacques may publish in the future.

Co-authors

The 25 scholars most cited alongside Laurent Jacques, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Laurent Jacques Line = papers co-authored together Laurent Jacques links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors
Hit paper breakdown →
2013370
2 2010125
3 201086
4 201074
5 200273
6 201370
7 201169
8 200567
9 200558
10 201651
11 200943
12 201142
13 200737
14 201536
15 201036
16 201236
17 200636
18 200930
19 201929
20 202126

About Laurent Jacques

Laurent Jacques is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Biomedical Engineering, Electrical and Electronic Engineering and Media Technology, having authored 115 papers that have together received 1.8k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (38 papers), Image and Signal Denoising Methods (15 papers), Microwave Imaging and Scattering Analysis (13 papers), Photoacoustic and Ultrasonic Imaging (12 papers), Optical measurement and interference techniques (10 papers), Blind Source Separation Techniques (9 papers), CCD and CMOS Imaging Sensors (7 papers) and Optical Coherence Tomography Applications (7 papers). The work is most often cited by research in Computational Mechanics (783 citations), Acoustics and Ultrasonics (31 citations), Computer Vision and Pattern Recognition (639 citations), Signal Processing (313 citations) and Media Technology (125 citations). Laurent Jacques has collaborated with scholars based in Belgium, France and Switzerland. Frequent co-authors include Pierre Vandergheynst, Petros T. Boufounos, Jason N. Laska, Richard G. Baraniuk, Yves Wiaux, David K. Hammond, Jalal Fadili, Jean-Pierre Antoine, Christophe De Vleeschouwer and Alexandre Alahi. Their work appears in journals such as IEEE Signal Processing Letters, SIAM Journal on Imaging Sciences, Information and Inference A Journal of the IMA, IEEE Transactions on Signal Processing and IEEE Transactions on Information Theory.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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